4 papers
Learning Aerodynamics for the Control of Flying Humanoid Robots
Antonello Paolino, Gabriele Nava, Fabio Di Natale +8
Robots with multi-modal locomotion are an active research field due to their versatility in diverse environments. In this context, additional actuation can provide humanoid robots…
Effect of span size in Scale Resolving Simulations of airfoil stall and post-stall
Francesco Mario D'Afiero, Renato Tognaccini, Gianluca Iaccarino
In aerodynamic design, the use of Computational Fluid Dynamics (CFD) tools has long relied on Reynolds-Averaged Navier-Stokes (RANS) and Unsteady RANS (URANS) turbulence models. Ho…
Neural network-based closure models for large-eddy simulations with explicit filtering
Mark Benjamin, Gianluca Iaccarino
Data from direct numerical simulations of turbulent flows are commonly used to train neural network-based models as subgrid closures for large-eddy simulations; however, models wit…
A systematic dataset generation technique applied to data-driven automotive aerodynamics
Mark Benjamin, Gianluca Iaccarino
A novel strategy for generating datasets is developed within the context of drag prediction for automotive geometries using neural networks. A primary challenge in this space is co…